Evaluation of the Fractional Flow Reserve by Computer Tomography Data: Comparison of the Calculated Parameters with the Results of Invasive Measurements
https://doi.org/10.18087/cardio.2021.7.n1540
Abstract
Keywords
About the Authors
T. N. VeselovaRussian Federation
Tomograthy depertmant, Leading Researcher
S. K. Ternovoy
Russian Federation
Tomography department, Chief Researcher of tjmjgraph department
A. M. Chepovskiy
Russian Federation
professor of Department of Information technology
V. V. Borisenko
Russian Federation
Leading Researcher, PhD (Math.)
A. V. Gavrilov
Russian Federation
Head of the Laboratory of Medical Computer Systems
E. R. Blagosklonova
Russian Federation
research scientis
D. D. Dolotova
Russian Federation
Lead researcher, PhD (Med)
V. M. Mironov
Russian Federation
Department of X-ray endovascular diagnostic and treatment methods, doctor for X-ray endovascular diagnosis and treatment, Ph.D
G. K. Arutyunyan
junior researcher Department of X-ray Endovascular Diagnostic and Treatment Methods
References
1. Neumann F-J, Sousa-Uva M, Ahlsson A, Alfonso F, Banning AP, Benedetto U et al. 2018 ESC/EACTS Guidelines on myocardial revascularization. European Heart Journal. 2019;40(2):87–165. DOI: 10.1093/eurheartj/ehy394
2. Johnson NP, Tóth GG, Lai D, Zhu H, Açar G, Agostoni P et al. Prognostic Value of Fractional Flow Reserve: Linking physiologic severity to clinical outcomes. Journal of the American College of Cardiology. 2014;64(16):1641–54. DOI: 10.1016/j.jacc.2014.07.973
3. Koo B-K, Erglis A, Doh J-H, Daniels DV, Jegere S, Kim H-S et al. Diagnosis of Ischemia-Causing Coronary Stenoses by Noninvasive Fractional Flow Reserve Computed From Coronary Computed Tomographic Angiograms. Journal of the American College of Cardiology. 2011;58(19):1989–97. DOI: 10.1016/j.jacc.2011.06.066
4. Coenen A, Lubbers MM, Kurata A, Kono A, Dedic A, Chelu RG et al. Fractional Flow Reserve Computed from Noninvasive CT Angiography Data: Diagnostic Performance of an On-Site Clinicianoperated Computational Fluid Dynamics Algorithm. Radiology. 2015;274(3):674–83. DOI: 10.1148/radiol.14140992
5. Nørgaard BL, Fairbairn TA, Safian RD, Rabbat MG, Ko B, Jensen JM et al. Coronary CT Angiography-derived Fractional Flow Reserve Testing in Patients with Stable Coronary Artery Disease: Recommendations on Interpretation and Reporting. Radiology: Cardiothoracic Imaging. 2019;1(5):e190050. DOI: 10.1148/ryct.2019190050
6. Agasthi P, Kanmanthareddy A, Khalil C, Egbuche O, Yarlagadda V, Sachdeva R et al. Comparison of Computed Tomography derived Fractional Flow Reserve to invasive Fractional Flow Reserve in Diagnosis of Functional Coronary Stenosis: A Meta-Analysis. Scientific Reports. 2018;8(1):11535. DOI: 10.1038/s41598-018-29910-9
7. FDA. 510(k) Premarket Notification. [Internet] Available at: https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm
8. NICE. HeartFlow FFRCT for estimating fractional flow reserve from coronary CT angiography. Medical technologies guidance [MTG32]. [Internet] Available at: https://www.nice.org.uk/guidance/mtg32
9. Colleran R, Douglas PS, Hadamitzky M, Gutberlet M, Lehmkuhl L, Foldyna B et al. An FFR CT diagnostic strategy versus usual care in patients with suspected coronary artery disease planned for invasive coronary angiography at German sites: one-year results of a subgroup analysis of the PLATFORM (Prospective Longitudinal Trial of FFR CT: Outcome and Resource Impacts) study. Open Heart. 2017;4(1):e000526. DOI: 10.1136/openhrt-2016-000526
10. Mahmoudi M, Nicholas Z, Nuttall J, Bresser M, Maishman T, Berry C et al. Fractional Flow Reserve Derived from Computed Tomography Coronary Angiography in the Assessment and Management of Stable Chest Pain: Rationale and Design of the FORECAST Trial. Cardiovascular Revascularization Medicine. 2020;21(7):890–6. DOI: 10.1016/j.carrev.2019.12.009
11. Ternovoy S.K., Chepovskiy A.M., Veselova T.N., Borisenko V.V., Serova N.S. Mathematical modeling of coronary blood flow to assess the functional significance of stenotic lesion according to computed tomography. Russian Electronic Journal of Radiology. 2019;9(2):205–12. DOI: 10.21569/2222-7415-2019-9-2-205-212
12. Borisenko V.V., Veselova T.N., Ternovoy S.K., Chepovskiy A.M. Building a 3D model of heart vessels with the removal of calcifications. Systems of high availability. 2020;16(3):58–65. DOI: 10.18127/J20729472-202003-06
13. Borisenko V.V., Serova N.S., Chepovskiy A.M. Reconstruction of Three-Dimensional Geometry of the Vessels by Computed Tomography Data. Vestnik NSU. Series: Information Technologies. 2019;17(3):5–17. DOI: 10.25205/1818-7900-2019-17-3-5-17
14. Ternovoy S.K., Veselova T.N., Borisenko V.V., Blagosklonova E.R., Gavrilov A.V., Dolotova D.D. et al. Noninvasive assessment of fractional flow reserve according to coronary computed tomography angiography using hydrodynamic calculations. Russian Electronic Journal of Radiology. 2020;10(2):71–7. DOI: 10.21569/2222-7415-2020-10-2-71-77
15. Taubin G. A signal processing approach to fair surface design. SIGGRAPH ’95: Proceedings of the 22nd annual conference on Computer graphics and interactive techniques. 1995. P. 351-358. DOI:10.1145/218380.218473.
16. Douglas PS, De Bruyne B, Pontone G, Patel MR, Norgaard BL, Byrne RA et al. 1-Year Outcomes of FFR CT-Guided Care in Patients With Suspected Coronary Disease. Journal of the American College of Cardiology. 2016;68(5):435–45. DOI: 10.1016/j.jacc.2016.05.057
17. Douglas PS, Pontone G, Hlatky MA, Patel MR, Norgaard BL, Byrne RA et al. Clinical outcomes of fractional flow reserve by computed tomographic angiography-guided diagnostic strategies vs. usual care in patients with suspected coronary artery disease: the prospective longitudinal trial of FFR CT: outcome and resource impacts study. European Heart Journal. 2015;36(47):3359–67. DOI: 10.1093/eurheartj/ehv444
18. Lu MT, Ferencik M, Roberts RS, Lee KL, Ivanov A, Adami E et al. Noninvasive FFR Derived From Coronary CT Angiography: Management and Outcomes in the PROMISE Trial. JACC: Cardiovascular Imaging. 2017;10(11):1350–8. DOI: 10.1016/j.jcmg.2016.11.024
19. Ko BS, Cameron JD, Munnur RK, Wong DTL, Fujisawa Y, Sakaguchi T et al. Noninvasive CT-Derived FFR Based on Structural and Fluid Analysis: A Comparison With Invasive FFR for Detection of Functionally Significant Stenosis. JACC: Cardiovascular Imaging. 2017;10(6):663–73. DOI: 10.1016/j.jcmg.2016.07.005
20. Duguay TM, Tesche C, Vliegenthart R, De Cecco CN, Lin H, Albrecht MH et al. Coronary Computed Tomographic AngiographyDerived Fractional Flow Reserve Based on Machine Learning for Risk Stratification of Non-Culprit Coronary Narrowings in Patients with Acute Coronary Syndrome. The American Journal of Cardiology. 2017;120(8):1260–6. DOI: 10.1016/j.amjcard.2017.07.008
21. Lu MT, Meyersohn NM, Mayrhofer T, Bittner DO, Emami H, Puchner SB et al. Central Core Laboratory versus Site Interpretation of Coronary CT Angiography: Agreement and Association with Cardiovascular Events in the PROMISE Trial. Radiology. 2018;287(1):87–95. DOI: 10.1148/radiol.2017172181
22. Tonino PAL, Fearon WF, De Bruyne B, Oldroyd KG, Leesar MA, Ver Lee PN et al. Angiographic Versus Functional Severity of Coronary Artery Stenoses in the FAME Study. Journal of the American College of Cardiology. 2010;55(25):2816–21. DOI: 10.1016/j.jacc.2009.11.096
23. Ferencik M, Lu MT, Mayrhofer T, Puchner SB, Liu T, MaurovichHorvat P et al. Non-invasive fractional flow reserve derived from coronary computed tomography angiography in patients with acute chest pain: Subgroup analysis of the ROMICAT II trial. Journal of Cardiovascular Computed Tomography. 2019;13(4):196–202. DOI: 10.1016/j.jcct.2019.05.009
Review
For citations:
Veselova T.N., Ternovoy S.K., Chepovskiy A.M., Borisenko V.V., Gavrilov A.V., Blagosklonova E.R., Dolotova D.D., Mironov V.M., Arutyunyan G.K. Evaluation of the Fractional Flow Reserve by Computer Tomography Data: Comparison of the Calculated Parameters with the Results of Invasive Measurements. Kardiologiia. 2021;61(7):28-35. https://doi.org/10.18087/cardio.2021.7.n1540